Quantitative Analyst

4 days ago


Sunshine Coast, Australia Correlate Resources Full time

Cutting edge technology, innovative and fast paced environment
- Scaling Tech, Trading and Investment company
- Great culture + favourable salary with several added benefits

**The Client**:
They are a fast paced, meticulously-scaling company, who utilise a range of quantitative techniques and proprietary algorithmic systems fused with game theory, to identify and exploit domestic and international market inefficiencies.

Our client employees the industry's brightest analytical minds they offer a hot bed for innovation and offer unparalleled opportunities for career development and growth. This is a once-in-a-lifetime opportunity to join a successful, scaling business close to the ground floor, enjoying the autonomy, challenge and upside that comes with involvement in such a business. Loyalty and humility are non-negotiable requirements.

**What we are looking for**:

- An ambitious, competitive data engineer with a passion for technology, data wrangling and DevOps.
- One who will relish working on challenges alongside fellow high achievers and being part of a close-knit team based on the Sunshine Coast.
- One who strives to uncover innovative modelling solutions that enable our team to capitalise on opportunities ahead of our competitors. We are extremely fast paced, the faster we iterate, the faster we can innovate.
- Please note: Experience with this stack is not essential if comparable skills are possessed
- Languages: Python, C#, javascript,
- Orchestration: Prefect
- Cloud: AWS (ECS, ECR, S3, Batch, Lambda, SageMaker, DynamoDb, RDS)
- CICD: Buildkite
- Other: Docker
- There is a high level of autonomy following the initial skill acquisition process and ongoing mentorship, however their main responsibilities include designing, expanding, and optimising our data and data pipeline architecture, as well as optimising data flow in our machine leaning and modelling services.
- We are also open to speaking with an experienced programmer interested in making the leap to the Data Engineering.



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